Pandas Profiling Report

Dataset statistics

Number of variables	44
Number of observations	124
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	42.8 KiB
Average record size in memory	353.0 B

Variable types

Numeric	21
Categorical	12
Boolean	10
Unsupported	1

Alerts

`AMTS status` has constant value "normal cognitive function"	Constant
`presence of any etiologic criteria (GLIM )` has constant value "True"	Constant
`number of chronic diseases` is highly correlated with `number of regular drugs` and 3 other fields	High correlation
`number of regular drugs` is highly correlated with `number of chronic diseases` and 3 other fields	High correlation
`FEV1/FVC EX` is highly correlated with `FEV1` and 1 other fields	High correlation
`FEV1` is highly correlated with `age` and 3 other fields	High correlation
`height (cm)` is highly correlated with `gender` and 9 other fields	High correlation
`weight (kg)` is highly correlated with `number of regular drugs` and 18 other fields	High correlation
`BFM (Body Fat Mass)` is highly correlated with `presence of diabetes` and 14 other fields	High correlation
`SMM (Skeletal Muscle Mass)` is highly correlated with `gender` and 15 other fields	High correlation
`BMI (Body Mass Index)` is highly correlated with `presence of diabetes` and 16 other fields	High correlation
`PBF (Percent Body Fat)` is highly correlated with `weight (kg)` and 3 other fields	High correlation
`FFM of Right Arm` is highly correlated with `gender` and 13 other fields	High correlation
`FFM of Left Arm` is highly correlated with `gender` and 14 other fields	High correlation
`FFM of Right Leg` is highly correlated with `gender` and 12 other fields	High correlation
`FFM of Left Leg` is highly correlated with `gender` and 12 other fields	High correlation
`FFM of Trunk` is highly correlated with `gender` and 14 other fields	High correlation
`MNA- SF (points)` is highly correlated with `MNA-SF status` and 6 other fields	High correlation
`MUST (points)` is highly correlated with `weight (kg)` and 9 other fields	High correlation
`ALM index` is highly correlated with `gender` and 17 other fields	High correlation
`handgrip strenght (mean value for two hands)` is highly correlated with `gender` and 6 other fields	High correlation
`presence of any phenotypic criteria (GLIM )` is highly correlated with `weight (kg)` and 9 other fields	High correlation
`sarcopenia confirmed according to EWGSOP2` is highly correlated with `weight (kg)` and 10 other fields	High correlation
`NRS-2002 (points)` is highly correlated with `NRS-2002 status`	High correlation
`low handgrip strenght <27 kg for men and <16 kg for women` is highly correlated with `handgrip strenght (mean value for two hands)` and 1 other fields	High correlation
`MUST status` is highly correlated with `weight (kg)` and 13 other fields	High correlation
`place of living` is highly correlated with `presence of any etiologic criteria (GLIM )` and 1 other fields	High correlation
`weak legs- Chair Stand Test >15 seconds` is highly correlated with `Chair Stand Test (s)`	High correlation
`presence of any etiologic criteria (GLIM )` is highly correlated with `presence of any phenotypic criteria (GLIM )` and 20 other fields	High correlation
`level of education` is highly correlated with `age`	High correlation
`NRS-2002 status` is highly correlated with `NRS-2002 (points)`	High correlation
`living condition` is highly correlated with `presence of any etiologic criteria (GLIM )` and 1 other fields	High correlation
`presence of cardiovascular disease` is highly correlated with `number of chronic diseases`	High correlation
`presence of hypertension` is highly correlated with `number of chronic diseases`	High correlation
`gender` is highly correlated with `subject number` and 9 other fields	High correlation
`presence of diabetes` is highly correlated with `number of chronic diseases` and 2 other fields	High correlation
`Low muscle mass (ALM index <=7.40 for men and <=5.6 for women; polish cut-off points)` is highly correlated with `weight (kg)` and 16 other fields	High correlation
`AMTS (points)` is highly correlated with `presence of any etiologic criteria (GLIM )` and 1 other fields	High correlation
`Severity of COPD according to the GOLD classification` is highly correlated with `FEV1/FVC EX` and 1 other fields	High correlation
`AMTS status` is highly correlated with `presence of any phenotypic criteria (GLIM )` and 20 other fields	High correlation
`MNA-SF status` is highly correlated with `weight (kg)` and 12 other fields	High correlation
`presence of dyslipidemia` is highly correlated with `presence of any etiologic criteria (GLIM )` and 1 other fields	High correlation
`subject number` is highly correlated with `gender`	High correlation
`age` is highly correlated with `level of education` and 1 other fields	High correlation
`Chair Stand Test (s)` is highly correlated with `MNA- SF (points)` and 1 other fields	High correlation
`subject number` is uniformly distributed	Uniform
`subject number` has unique values	Unique
`6MWT results` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-19 20:20:31.182544
Analysis finished	2022-09-19 20:22:15.917267
Duration	1 minute and 44.73 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

subject number
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	124
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.5

Minimum	1
Maximum	124
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	7.15
Q1	31.75
median	62.5
Q3	93.25
95-th percentile	117.85
Maximum	124
Range	123
Interquartile range (IQR)	61.5

Descriptive statistics

Standard deviation	35.93976442
Coefficient of variation (CV)	0.5750362307
Kurtosis	-1.2
Mean	62.5
Median Absolute Deviation (MAD)	31
Skewness	0
Sum	7750
Variance	1291.666667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.8%
79	1	0.8%
92	1	0.8%
91	1	0.8%
90	1	0.8%
89	1	0.8%
88	1	0.8%
87	1	0.8%
86	1	0.8%
85	1	0.8%
Other values (114)	114	91.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.8%
2	1	0.8%
3	1	0.8%
4	1	0.8%
5	1	0.8%
6	1	0.8%
7	1	0.8%
8	1	0.8%
9	1	0.8%
10	1	0.8%

Value	Count	Frequency (%)
124	1	0.8%
123	1	0.8%
122	1	0.8%
121	1	0.8%
120	1	0.8%
119	1	0.8%
118	1	0.8%
117	1	0.8%
116	1	0.8%
115	1	0.8%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25
Distinct (%)	20.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.37903226

Minimum	60
Maximum	86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	60
5-th percentile	60.15
Q1	65
median	69
Q3	73
95-th percentile	81
Maximum	86
Range	26
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.052067767
Coefficient of variation (CV)	0.08723194271
Kurtosis	-0.2040829994
Mean	69.37903226
Median Absolute Deviation (MAD)	4
Skewness	0.5723351367
Sum	8603
Variance	36.62752426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
71	11	8.9%
67	11	8.9%
69	10	8.1%
68	9	7.3%
65	8	6.5%
60	7	5.6%
70	7	5.6%
66	7	5.6%
62	6	4.8%
73	5	4.0%
Other values (15)	43	34.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
60	7	5.6%
61	4	3.2%
62	6	4.8%
63	4	3.2%
64	5	4.0%
65	8	6.5%
66	7	5.6%
67	11	8.9%
68	9	7.3%
69	10	8.1%

Value	Count	Frequency (%)
86	1	0.8%
84	1	0.8%
82	3	2.4%
81	3	2.4%
80	4	3.2%
79	1	0.8%
78	1	0.8%
77	5	4.0%
76	2	1.6%
75	3	2.4%

gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

M	74
W	50

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	124
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	74	59.7%
W	50	40.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
m	74	59.7%
w	50	40.3%

Most occurring characters

Value	Count	Frequency (%)
M	74	59.7%
W	50	40.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	124	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	74	59.7%
W	50	40.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	124	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	74	59.7%
W	50	40.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	124	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	74	59.7%
W	50	40.3%

place of living
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

urban areas	81
rural areas	43

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1,364
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	rural areas
2nd row	urban areas
3rd row	urban areas
4th row	rural areas
5th row	urban areas

Common Values

Value	Count	Frequency (%)
urban areas	81	65.3%
rural areas	43	34.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
areas	124	50.0%
urban	81	32.7%
rural	43	17.3%

Most occurring characters

Value	Count	Frequency (%)
a	372	27.3%
r	291	21.3%
u	124	9.1%
	124	9.1%
e	124	9.1%
s	124	9.1%
b	81	5.9%
n	81	5.9%
l	43	3.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1240	90.9%
Space Separator	124	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	372	30.0%
r	291	23.5%
u	124	10.0%
e	124	10.0%
s	124	10.0%
b	81	6.5%
n	81	6.5%
l	43	3.5%

Space Separator

Value	Count	Frequency (%)
	124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1240	90.9%
Common	124	9.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	372	30.0%
r	291	23.5%
u	124	10.0%
e	124	10.0%
s	124	10.0%
b	81	6.5%
n	81	6.5%
l	43	3.5%

Common

Value	Count	Frequency (%)
	124	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1364	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	372	27.3%
r	291	21.3%
u	124	9.1%
	124	9.1%
e	124	9.1%
s	124	9.1%
b	81	5.9%
n	81	5.9%
l	43	3.2%

living condition
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

living with other	99
living alone	25

Length

Max length	17
Median length	17
Mean length	15.99193548
Min length	12

Characters and Unicode

Total characters	1,983
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	living with other
2nd row	living with other
3rd row	living with other
4th row	living with other
5th row	living with other

Common Values

Value	Count	Frequency (%)
living with other	99	79.8%
living alone	25	20.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
living	124	35.7%
with	99	28.5%
other	99	28.5%
alone	25	7.2%

Most occurring characters

Value	Count	Frequency (%)
i	347	17.5%
	223	11.2%
t	198	10.0%
h	198	10.0%
l	149	7.5%
n	149	7.5%
v	124	6.3%
g	124	6.3%
o	124	6.3%
e	124	6.3%
Other values (3)	223	11.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1760	88.8%
Space Separator	223	11.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	347	19.7%
t	198	11.2%
h	198	11.2%
l	149	8.5%
n	149	8.5%
v	124	7.0%
g	124	7.0%
o	124	7.0%
e	124	7.0%
w	99	5.6%
Other values (2)	124	7.0%

Space Separator

Value	Count	Frequency (%)
	223	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1760	88.8%
Common	223	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	347	19.7%
t	198	11.2%
h	198	11.2%
l	149	8.5%
n	149	8.5%
v	124	7.0%
g	124	7.0%
o	124	7.0%
e	124	7.0%
w	99	5.6%
Other values (2)	124	7.0%

Common

Value	Count	Frequency (%)
	223	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1983	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	347	17.5%
	223	11.2%
t	198	10.0%
h	198	10.0%
l	149	7.5%
n	149	7.5%
v	124	6.3%
g	124	6.3%
o	124	6.3%
e	124	6.3%
Other values (3)	223	11.2%

level of education
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

vocational	56
secondary	44
higher	12
primary	10
no education	2

Length

Max length	12
Median length	10
Mean length	9.048387097
Min length	6

Characters and Unicode

Total characters	1,122
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	vocational
2nd row	secondary
3rd row	vocational
4th row	primary
5th row	vocational

Common Values

Value	Count	Frequency (%)
vocational	56	45.2%
secondary	44	35.5%
higher	12	9.7%
primary	10	8.1%
no education	2	1.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
vocational	56	44.4%
secondary	44	34.9%
higher	12	9.5%
primary	10	7.9%
no	2	1.6%
education	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	168	15.0%
o	160	14.3%
n	104	9.3%
c	102	9.1%
i	80	7.1%
r	76	6.8%
e	58	5.2%
t	58	5.2%
v	56	5.0%
l	56	5.0%
Other values (9)	204	18.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1120	99.8%
Space Separator	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	168	15.0%
o	160	14.3%
n	104	9.3%
c	102	9.1%
i	80	7.1%
r	76	6.8%
e	58	5.2%
t	58	5.2%
v	56	5.0%
l	56	5.0%
Other values (8)	202	18.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1120	99.8%
Common	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	168	15.0%
o	160	14.3%
n	104	9.3%
c	102	9.1%
i	80	7.1%
r	76	6.8%
e	58	5.2%
t	58	5.2%
v	56	5.0%
l	56	5.0%
Other values (8)	202	18.0%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1122	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	168	15.0%
o	160	14.3%
n	104	9.3%
c	102	9.1%
i	80	7.1%
r	76	6.8%
e	58	5.2%
t	58	5.2%
v	56	5.0%
l	56	5.0%
Other values (9)	204	18.2%

number of chronic diseases
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.137096774

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1.15
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.177945555
Coefficient of variation (CV)	0.3754890715
Kurtosis	0.4531451639
Mean	3.137096774
Median Absolute Deviation (MAD)	1
Skewness	0.6091398825
Sum	389
Variance	1.38755573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	48	38.7%
2	29	23.4%
4	28	22.6%
6	8	6.5%
1	7	5.6%
5	4	3.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	5.6%
2	29	23.4%
3	48	38.7%
4	28	22.6%
5	4	3.2%
6	8	6.5%

Value	Count	Frequency (%)
6	8	6.5%
5	4	3.2%
4	28	22.6%
3	48	38.7%
2	29	23.4%
1	7	5.6%

number of regular drugs
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	17
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.298387097

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	8
Q3	11.25
95-th percentile	14.85
Maximum	20
Range	19
Interquartile range (IQR)	6.25

Descriptive statistics

Standard deviation	4.182775052
Coefficient of variation (CV)	0.5040467506
Kurtosis	-0.2271767649
Mean	8.298387097
Median Absolute Deviation (MAD)	3
Skewness	0.4007860707
Sum	1029
Variance	17.49560713
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
12	14	11.3%
6	14	11.3%
8	11	8.9%
7	9	7.3%
11	9	7.3%
4	9	7.3%
10	9	7.3%
5	8	6.5%
2	8	6.5%
14	8	6.5%
Other values (7)	25	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	1.6%
2	8	6.5%
3	7	5.6%
4	9	7.3%
5	8	6.5%
6	14	11.3%
7	9	7.3%
8	11	8.9%
9	7	5.6%
10	9	7.3%

Value	Count	Frequency (%)
20	2	1.6%
18	2	1.6%
15	3	2.4%
14	8	6.5%
13	2	1.6%
12	14	11.3%
11	9	7.3%
10	9	7.3%
9	7	5.6%
8	11	8.9%

presence of hypertension
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

True	78
False	46

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	78	62.9%
False	46	37.1%

presence of cardiovascular disease
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	88
True	36

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	88	71.0%
True	36	29.0%

presence of dyslipidemia
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	96
True	28

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	96	77.4%
True	28	22.6%

presence of diabetes
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	86
True	38

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	86	69.4%
True	38	30.6%

AMTS (points)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

10	63
9	46
11	9
8	6

Length

Max length	2
Median length	2
Mean length	1.580645161
Min length	1

Characters and Unicode

Total characters	196
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	9
3rd row	9
4th row	9
5th row	10

Common Values

Value	Count	Frequency (%)
10	63	50.8%
9	46	37.1%
11	9	7.3%
8	6	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
10	63	50.8%
9	46	37.1%
11	9	7.3%
8	6	4.8%

Most occurring characters

Value	Count	Frequency (%)
1	81	41.3%
0	63	32.1%
9	46	23.5%
8	6	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	196	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	81	41.3%
0	63	32.1%
9	46	23.5%
8	6	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	196	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	81	41.3%
0	63	32.1%
9	46	23.5%
8	6	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	81	41.3%
0	63	32.1%
9	46	23.5%
8	6	3.1%

AMTS status
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

normal cognitive function	124

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	3,100
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal cognitive function
2nd row	normal cognitive function
3rd row	normal cognitive function
4th row	normal cognitive function
5th row	normal cognitive function

Common Values

Value	Count	Frequency (%)
normal cognitive function	124	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	124	33.3%
cognitive	124	33.3%
function	124	33.3%

Most occurring characters

Value	Count	Frequency (%)
n	496	16.0%
o	372	12.0%
i	372	12.0%
	248	8.0%
c	248	8.0%
t	248	8.0%
r	124	4.0%
m	124	4.0%
a	124	4.0%
l	124	4.0%
Other values (5)	620	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2852	92.0%
Space Separator	248	8.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	496	17.4%
o	372	13.0%
i	372	13.0%
c	248	8.7%
t	248	8.7%
r	124	4.3%
m	124	4.3%
a	124	4.3%
l	124	4.3%
g	124	4.3%
Other values (4)	496	17.4%

Space Separator

Value	Count	Frequency (%)
	248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2852	92.0%
Common	248	8.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	496	17.4%
o	372	13.0%
i	372	13.0%
c	248	8.7%
t	248	8.7%
r	124	4.3%
m	124	4.3%
a	124	4.3%
l	124	4.3%
g	124	4.3%
Other values (4)	496	17.4%

Common

Value	Count	Frequency (%)
	248	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	496	16.0%
o	372	12.0%
i	372	12.0%
	248	8.0%
c	248	8.0%
t	248	8.0%
r	124	4.0%
m	124	4.0%
a	124	4.0%
l	124	4.0%
Other values (5)	620	20.0%

FEV1/FVC EX
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	123
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.9916129

Minimum	16.62
Maximum	70.38
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	16.62
5-th percentile	29.262
Q1	41.1825
median	52.68
Q3	61.9725
95-th percentile	69.1955
Maximum	70.38
Range	53.76
Interquartile range (IQR)	20.79

Descriptive statistics

Standard deviation	12.64585966
Coefficient of variation (CV)	0.2479988166
Kurtosis	-0.7405630601
Mean	50.9916129
Median Absolute Deviation (MAD)	10.28
Skewness	-0.356580712
Sum	6322.96
Variance	159.9177665
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
63.64	2	1.6%
52.14	1	0.8%
59.07	1	0.8%
41.61	1	0.8%
68.07	1	0.8%
41.2	1	0.8%
46.21	1	0.8%
54.92	1	0.8%
43.22	1	0.8%
68.31	1	0.8%
Other values (113)	113	91.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16.62	1	0.8%
25.16	1	0.8%
28.13	1	0.8%
28.37	1	0.8%
28.57	1	0.8%
28.84	1	0.8%
29.22	1	0.8%
29.5	1	0.8%
29.52	1	0.8%
29.83	1	0.8%

Value	Count	Frequency (%)
70.38	1	0.8%
70	1	0.8%
69.89	1	0.8%
69.59	1	0.8%
69.52	1	0.8%
69.36	1	0.8%
69.2	1	0.8%
69.17	1	0.8%
68.31	1	0.8%
68.15	1	0.8%

FEV1
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	59
Distinct (%)	47.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.64516129

Minimum	14
Maximum	105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	14
5-th percentile	25
Q1	36.75
median	46
Q3	63
95-th percentile	85.1
Maximum	105
Range	91
Interquartile range (IQR)	26.25

Descriptive statistics

Standard deviation	18.80848863
Coefficient of variation (CV)	0.3713778011
Kurtosis	-0.07325435446
Mean	50.64516129
Median Absolute Deviation (MAD)	13.5
Skewness	0.6211199829
Sum	6280
Variance	353.7592447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	6	4.8%
41	6	4.8%
39	4	3.2%
63	4	3.2%
51	4	3.2%
66	4	3.2%
42	4	3.2%
38	4	3.2%
32	3	2.4%
30	3	2.4%
Other values (49)	82	66.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	1	0.8%
20	1	0.8%
23	1	0.8%
24	3	2.4%
25	2	1.6%
27	2	1.6%
28	1	0.8%
29	1	0.8%
30	3	2.4%
31	3	2.4%

Value	Count	Frequency (%)
105	1	0.8%
98	1	0.8%
97	2	1.6%
91	1	0.8%
87	1	0.8%
86	1	0.8%
80	2	1.6%
79	1	0.8%
78	1	0.8%
76	1	0.8%

Severity of COPD according to the GOLD classification
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

severe obstruction	52
moderate obstruction	51
very severe obstruction	12
mild obstruction	9

Length

Max length	23
Median length	20
Mean length	19.16129032
Min length	16

Characters and Unicode

Total characters	2,376
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	very severe obstruction
2nd row	moderate obstruction
3rd row	severe obstruction
4th row	moderate obstruction
5th row	moderate obstruction

Common Values

Value	Count	Frequency (%)
severe obstruction	52	41.9%
moderate obstruction	51	41.1%
very severe obstruction	12	9.7%
mild obstruction	9	7.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
obstruction	124	47.7%
severe	64	24.6%
moderate	51	19.6%
very	12	4.6%
mild	9	3.5%

Most occurring characters

Value	Count	Frequency (%)
e	306	12.9%
o	299	12.6%
t	299	12.6%
r	251	10.6%
s	188	7.9%
	136	5.7%
i	133	5.6%
c	124	5.2%
n	124	5.2%
u	124	5.2%
Other values (7)	392	16.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2240	94.3%
Space Separator	136	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	306	13.7%
o	299	13.3%
t	299	13.3%
r	251	11.2%
s	188	8.4%
i	133	5.9%
c	124	5.5%
n	124	5.5%
u	124	5.5%
b	124	5.5%
Other values (6)	268	12.0%

Space Separator

Value	Count	Frequency (%)
	136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2240	94.3%
Common	136	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	306	13.7%
o	299	13.3%
t	299	13.3%
r	251	11.2%
s	188	8.4%
i	133	5.9%
c	124	5.5%
n	124	5.5%
u	124	5.5%
b	124	5.5%
Other values (6)	268	12.0%

Common

Value	Count	Frequency (%)
	136	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	306	12.9%
o	299	12.6%
t	299	12.6%
r	251	10.6%
s	188	7.9%
	136	5.7%
i	133	5.6%
c	124	5.2%
n	124	5.2%
u	124	5.2%
Other values (7)	392	16.5%

6MWT results
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

height (cm)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	35
Distinct (%)	28.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	166.4354839

Minimum	142
Maximum	189
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	142
5-th percentile	150
Q1	160.75
median	167
Q3	174
95-th percentile	178
Maximum	189
Range	47
Interquartile range (IQR)	13.25

Descriptive statistics

Standard deviation	9.259793265
Coefficient of variation (CV)	0.05563593201
Kurtosis	-0.3576683629
Mean	166.4354839
Median Absolute Deviation (MAD)	7
Skewness	-0.2568475081
Sum	20638
Variance	85.74377131
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
175	10	8.1%
164	9	7.3%
165	8	6.5%
162	7	5.6%
172	7	5.6%
176	6	4.8%
160	6	4.8%
170	6	4.8%
150	5	4.0%
178	5	4.0%
Other values (25)	55	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
142	1	0.8%
146	1	0.8%
148	1	0.8%
150	5	4.0%
151	1	0.8%
152	3	2.4%
153	3	2.4%
154	2	1.6%
155	1	0.8%
156	3	2.4%

Value	Count	Frequency (%)
189	1	0.8%
185	2	1.6%
184	1	0.8%
181	1	0.8%
180	1	0.8%
178	5	4.0%
177	1	0.8%
176	6	4.8%
175	10	8.1%
174	4	3.2%

weight (kg)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	110
Distinct (%)	88.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.97016129

Minimum	37.9
Maximum	135.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	37.9
5-th percentile	46.305
Q1	64
median	76.45
Q3	92.9
95-th percentile	114
Maximum	135.5
Range	97.6
Interquartile range (IQR)	28.9

Descriptive statistics

Standard deviation	20.5761484
Coefficient of variation (CV)	0.2638977278
Kurtosis	0.2948995506
Mean	77.97016129
Median Absolute Deviation (MAD)	13.85
Skewness	0.4922130829
Sum	9668.3
Variance	423.3778829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
71.9	3	2.4%
64	2	1.6%
94.5	2	1.6%
85.8	2	1.6%
83.2	2	1.6%
93.7	2	1.6%
94.3	2	1.6%
81.5	2	1.6%
114	2	1.6%
94.8	2	1.6%
Other values (100)	103	83.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.9	1	0.8%
40.2	1	0.8%
40.4	1	0.8%
41.2	1	0.8%
43.7	1	0.8%
46	1	0.8%
46.2	1	0.8%
46.9	1	0.8%
49.4	1	0.8%
49.5	1	0.8%

Value	Count	Frequency (%)
135.5	1	0.8%
133.7	1	0.8%
129.6	1	0.8%
129.3	1	0.8%
127.9	1	0.8%
119.5	1	0.8%
114	2	1.6%
107.3	1	0.8%
107.2	1	0.8%
107	1	0.8%

BFM (Body Fat Mass)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	116
Distinct (%)	93.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.19274194

Minimum	3.6
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	3.6
5-th percentile	8.115
Q1	15.825
median	25.25
Q3	34.925
95-th percentile	50.695
Maximum	61
Range	57.4
Interquartile range (IQR)	19.1

Descriptive statistics

Standard deviation	12.81587667
Coefficient of variation (CV)	0.4892911442
Kurtosis	-0.1319994162
Mean	26.19274194
Median Absolute Deviation (MAD)	9.6
Skewness	0.564350736
Sum	3247.9
Variance	164.2466949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.4	2	1.6%
28.8	2	1.6%
33.8	2	1.6%
35.7	2	1.6%
27.9	2	1.6%
33.7	2	1.6%
40.5	2	1.6%
15.5	2	1.6%
38.5	1	0.8%
23.4	1	0.8%
Other values (106)	106	85.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.6	1	0.8%
6.7	1	0.8%
6.8	1	0.8%
7.4	1	0.8%
7.5	1	0.8%
7.8	1	0.8%
8.1	1	0.8%
8.2	1	0.8%
8.7	1	0.8%
8.8	1	0.8%

Value	Count	Frequency (%)
61	1	0.8%
58.8	1	0.8%
58.3	1	0.8%
56	1	0.8%
53.9	1	0.8%
53.1	1	0.8%
50.8	1	0.8%
50.1	1	0.8%
47	1	0.8%
44.8	1	0.8%

SMM (Skeletal Muscle Mass)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	100
Distinct (%)	80.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.5

Minimum	16.5
Maximum	44.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	16.5
5-th percentile	18.43
Q1	22.8
median	28.85
Q3	32.9
95-th percentile	39.665
Maximum	44.8
Range	28.3
Interquartile range (IQR)	10.1

Descriptive statistics

Standard deviation	6.756135423
Coefficient of variation (CV)	0.2370573833
Kurtosis	-0.6668397037
Mean	28.5
Median Absolute Deviation (MAD)	5.35
Skewness	0.2153887945
Sum	3534
Variance	45.64536585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31.3	4	3.2%
23	3	2.4%
33.6	2	1.6%
32.8	2	1.6%
24.2	2	1.6%
22.8	2	1.6%
26.6	2	1.6%
19	2	1.6%
38.4	2	1.6%
32.9	2	1.6%
Other values (90)	101	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16.5	1	0.8%
17	1	0.8%
17.3	1	0.8%
17.7	1	0.8%
18	1	0.8%
18.2	1	0.8%
18.4	1	0.8%
18.6	1	0.8%
18.7	1	0.8%
18.9	1	0.8%

Value	Count	Frequency (%)
44.8	1	0.8%
43.9	1	0.8%
43	1	0.8%
42.8	1	0.8%
42.1	1	0.8%
39.9	1	0.8%
39.8	1	0.8%
38.9	1	0.8%
38.4	2	1.6%
37.9	1	0.8%

BMI (Body Mass Index)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	99
Distinct (%)	79.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.025

Minimum	15.2
Maximum	47.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	15.2
5-th percentile	18.745
Q1	23.575
median	27.35
Q3	32.175
95-th percentile	40.325
Maximum	47.6
Range	32.4
Interquartile range (IQR)	8.6

Descriptive statistics

Standard deviation	6.63897858
Coefficient of variation (CV)	0.2368948646
Kurtosis	0.1950257303
Mean	28.025
Median Absolute Deviation (MAD)	4.6
Skewness	0.5395707966
Sum	3475.1
Variance	44.07603659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28.8	4	3.2%
24.5	3	2.4%
32.1	3	2.4%
26.8	3	2.4%
25.1	2	1.6%
28.5	2	1.6%
28.3	2	1.6%
34.8	2	1.6%
25.5	2	1.6%
23.7	2	1.6%
Other values (89)	99	79.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.2	1	0.8%
15.3	1	0.8%
15.7	1	0.8%
17.2	1	0.8%
17.6	1	0.8%
18.4	1	0.8%
18.7	1	0.8%
19	1	0.8%
19.1	1	0.8%
19.6	2	1.6%

Value	Count	Frequency (%)
47.6	1	0.8%
45.3	1	0.8%
44.2	1	0.8%
43.7	2	1.6%
40.9	1	0.8%
40.4	1	0.8%
39.9	1	0.8%
38.1	1	0.8%
37.9	1	0.8%
37.7	1	0.8%

PBF (Percent Body Fat)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	99
Distinct (%)	79.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.12580645

Minimum	9.4
Maximum	50.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	9.4
5-th percentile	16.305
Q1	24.65
median	33
Q3	40.05
95-th percentile	46.955
Maximum	50.2
Range	40.8
Interquartile range (IQR)	15.4

Descriptive statistics

Standard deviation	9.925395456
Coefficient of variation (CV)	0.3089539704
Kurtosis	-0.9023242192
Mean	32.12580645
Median Absolute Deviation (MAD)	7.8
Skewness	-0.1820090999
Sum	3983.6
Variance	98.51347495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.8	3	2.4%
37.9	3	2.4%
44.5	3	2.4%
50.2	2	1.6%
19.9	2	1.6%
40.9	2	1.6%
20.2	2	1.6%
35.9	2	1.6%
16.9	2	1.6%
28.6	2	1.6%
Other values (89)	101	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.4	1	0.8%
12.7	1	0.8%
13.1	1	0.8%
14.7	1	0.8%
15.4	1	0.8%
15.6	1	0.8%
16.2	1	0.8%
16.9	2	1.6%
17.2	2	1.6%
18.4	1	0.8%

Value	Count	Frequency (%)
50.2	2	1.6%
48.7	1	0.8%
48.5	1	0.8%
48.4	1	0.8%
48.1	1	0.8%
47	1	0.8%
46.7	1	0.8%
46.3	1	0.8%
46	1	0.8%
45.6	1	0.8%

FFM of Right Arm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	36
Distinct (%)	29.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.975403226

Minimum	1.21
Maximum	5.51
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.21
5-th percentile	1.5165
Q1	2.21
median	3
Q3	3.6
95-th percentile	4.48
Maximum	5.51
Range	4.3
Interquartile range (IQR)	1.39

Descriptive statistics

Standard deviation	0.9600536902
Coefficient of variation (CV)	0.3226633896
Kurtosis	-0.3568581322
Mean	2.975403226
Median Absolute Deviation (MAD)	0.71
Skewness	0.297490911
Sum	368.95
Variance	0.9217030881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
3.41	9	7.3%
2	7	5.6%
2.8	7	5.6%
3.21	7	5.6%
2.71	6	4.8%
1.71	6	4.8%
3.1	6	4.8%
4.11	5	4.0%
2.3	5	4.0%
2.21	4	3.2%
Other values (26)	62	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.21	1	0.8%
1.3	1	0.8%
1.4	3	2.4%
1.5	2	1.6%
1.61	2	1.6%
1.71	6	4.8%
1.8	2	1.6%
1.9	3	2.4%
2	7	5.6%
2.1	3	2.4%

Value	Count	Frequency (%)
5.51	2	1.6%
5.21	1	0.8%
5.11	1	0.8%
4.71	2	1.6%
4.51	1	0.8%
4.31	4	3.2%
4.11	5	4.0%
4.01	4	3.2%
3.91	4	3.2%
3.8	3	2.4%

FFM of Left Arm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	41
Distinct (%)	33.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.944677419

Minimum	1.11
Maximum	5.41
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1.11
5-th percentile	1.6015
Q1	2.1
median	2.91
Q3	3.6
95-th percentile	4.68
Maximum	5.41
Range	4.3
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	0.9894561498
Coefficient of variation (CV)	0.3360151245
Kurtosis	-0.4966145604
Mean	2.944677419
Median Absolute Deviation (MAD)	0.8
Skewness	0.3236465716
Sum	365.14
Variance	0.9790234723
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
3.6	7	5.6%
3.41	6	4.8%
3.3	6	4.8%
2.5	6	4.8%
2	6	4.8%
2.71	6	4.8%
3.8	5	4.0%
3	5	4.0%
1.8	5	4.0%
2.8	5	4.0%
Other values (31)	67	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.11	1	0.8%
1.21	1	0.8%
1.3	1	0.8%
1.4	2	1.6%
1.5	1	0.8%
1.6	1	0.8%
1.61	4	3.2%
1.71	4	3.2%
1.8	5	4.0%
1.9	3	2.4%

Value	Count	Frequency (%)
5.41	1	0.8%
5.31	2	1.6%
5.21	1	0.8%
4.71	3	2.4%
4.51	1	0.8%
4.41	2	1.6%
4.31	4	3.2%
4.21	1	0.8%
4.11	1	0.8%
4.01	2	1.6%

FFM of Right Leg
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	58
Distinct (%)	46.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.629677419

Minimum	3.71
Maximum	11.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	3.71
5-th percentile	4.71
Q1	6.11
median	7.91
Q3	8.8325
95-th percentile	10.81
Maximum	11.9
Range	8.19
Interquartile range (IQR)	2.7225

Descriptive statistics

Standard deviation	1.876984234
Coefficient of variation (CV)	0.2460109557
Kurtosis	-0.6643720211
Mean	7.629677419
Median Absolute Deviation (MAD)	1.35
Skewness	0.05520292296
Sum	946.08
Variance	3.523069814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.21	5	4.0%
5.71	5	4.0%
8.9	5	4.0%
8.01	4	3.2%
8.81	4	3.2%
7.91	4	3.2%
8.11	4	3.2%
6.01	3	2.4%
7.81	3	2.4%
5.01	3	2.4%
Other values (48)	84	67.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.71	2	1.6%
4.51	1	0.8%
4.61	3	2.4%
4.71	2	1.6%
4.81	2	1.6%
4.91	1	0.8%
5.01	3	2.4%
5.21	3	2.4%
5.41	1	0.8%
5.61	3	2.4%

Value	Count	Frequency (%)
11.9	1	0.8%
11.61	1	0.8%
11.4	1	0.8%
11.21	1	0.8%
11.01	1	0.8%
10.9	1	0.8%
10.81	2	1.6%
10.51	1	0.8%
10.4	2	1.6%
10.31	1	0.8%

FFM of Left Leg
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	57
Distinct (%)	46.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.575322581

Minimum	3.71
Maximum	12.01
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	3.71
5-th percentile	4.725
Q1	6.11
median	7.61
Q3	8.9
95-th percentile	10.4935
Maximum	12.01
Range	8.3
Interquartile range (IQR)	2.79

Descriptive statistics

Standard deviation	1.873854961
Coefficient of variation (CV)	0.2473630583
Kurtosis	-0.6824212649
Mean	7.575322581
Median Absolute Deviation (MAD)	1.4
Skewness	0.1130511379
Sum	939.34
Variance	3.511332415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.61	5	4.0%
8.01	5	4.0%
8.51	4	3.2%
5.91	4	3.2%
7.01	4	3.2%
4.91	4	3.2%
7.91	4	3.2%
8.81	4	3.2%
10.11	3	2.4%
5.71	3	2.4%
Other values (47)	84	67.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.71	1	0.8%
3.8	1	0.8%
4.51	2	1.6%
4.71	3	2.4%
4.81	3	2.4%
4.91	4	3.2%
5.11	2	1.6%
5.31	2	1.6%
5.41	1	0.8%
5.51	2	1.6%

Value	Count	Frequency (%)
12.01	1	0.8%
11.51	1	0.8%
11.4	1	0.8%
11.21	1	0.8%
11.11	1	0.8%
10.9	1	0.8%
10.51	1	0.8%
10.4	1	0.8%
10.31	2	1.6%
10.21	1	0.8%

FFM of Trunk
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	93
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.70403226

Minimum	12.9
Maximum	38.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	12.9
5-th percentile	14.8
Q1	18.925
median	23.6
Q3	27.35
95-th percentile	33.025
Maximum	38.7
Range	25.8
Interquartile range (IQR)	8.425

Descriptive statistics

Standard deviation	5.754127528
Coefficient of variation (CV)	0.2427488904
Kurtosis	-0.4452799042
Mean	23.70403226
Median Absolute Deviation (MAD)	4.25
Skewness	0.1895828967
Sum	2939.3
Variance	33.10998361
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.4	5	4.0%
16.1	3	2.4%
21.6	3	2.4%
25.3	3	2.4%
26.9	2	1.6%
13.5	2	1.6%
29.2	2	1.6%
21.1	2	1.6%
19	2	1.6%
30.8	2	1.6%
Other values (83)	98	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12.9	1	0.8%
13.5	2	1.6%
14	1	0.8%
14.3	1	0.8%
14.5	1	0.8%
14.8	2	1.6%
15.3	1	0.8%
15.4	1	0.8%
15.5	1	0.8%
15.6	1	0.8%

Value	Count	Frequency (%)
38.7	1	0.8%
37.7	1	0.8%
36.6	1	0.8%
36.4	1	0.8%
34	1	0.8%
33.8	1	0.8%
33.1	1	0.8%
32.6	1	0.8%
31.5	2	1.6%
31.3	1	0.8%

MNA- SF (points)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.11290323

Minimum	3
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	3
5-th percentile	6
Q1	11
median	13
Q3	14
95-th percentile	14
Maximum	14
Range	11
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.463422424
Coefficient of variation (CV)	0.203371758
Kurtosis	3.10448072
Mean	12.11290323
Median Absolute Deviation (MAD)	1
Skewness	-1.773819837
Sum	1502
Variance	6.068450039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
14	53	42.7%
12	25	20.2%
11	13	10.5%
13	12	9.7%
10	7	5.6%
9	4	3.2%
6	3	2.4%
8	2	1.6%
5	2	1.6%
4	2	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	0.8%
4	2	1.6%
5	2	1.6%
6	3	2.4%
8	2	1.6%
9	4	3.2%
10	7	5.6%
11	13	10.5%
12	25	20.2%
13	12	9.7%

Value	Count	Frequency (%)
14	53	42.7%
13	12	9.7%
12	25	20.2%
11	13	10.5%
10	7	5.6%
9	4	3.2%
8	2	1.6%
6	3	2.4%
5	2	1.6%
4	2	1.6%

MNA-SF status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

normal nutritional status	90
risk of malnutrition	34

Length

Max length	25
Median length	25
Mean length	23.62903226
Min length	20

Characters and Unicode

Total characters	2,930
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal nutritional status
2nd row	normal nutritional status
3rd row	normal nutritional status
4th row	normal nutritional status
5th row	normal nutritional status

Common Values

Value	Count	Frequency (%)
normal nutritional status	90	72.6%
risk of malnutrition	34	27.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	90	24.2%
nutritional	90	24.2%
status	90	24.2%
risk	34	9.1%
of	34	9.1%
malnutrition	34	9.1%

Most occurring characters

Value	Count	Frequency (%)
t	428	14.6%
n	338	11.5%
a	304	10.4%
i	282	9.6%
o	248	8.5%
r	248	8.5%
	248	8.5%
l	214	7.3%
u	214	7.3%
s	214	7.3%
Other values (3)	192	6.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2682	91.5%
Space Separator	248	8.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	428	16.0%
n	338	12.6%
a	304	11.3%
i	282	10.5%
o	248	9.2%
r	248	9.2%
l	214	8.0%
u	214	8.0%
s	214	8.0%
m	124	4.6%
Other values (2)	68	2.5%

Space Separator

Value	Count	Frequency (%)
	248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2682	91.5%
Common	248	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	428	16.0%
n	338	12.6%
a	304	11.3%
i	282	10.5%
o	248	9.2%
r	248	9.2%
l	214	8.0%
u	214	8.0%
s	214	8.0%
m	124	4.6%
Other values (2)	68	2.5%

Common

Value	Count	Frequency (%)
	248	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2930	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	428	14.6%
n	338	11.5%
a	304	10.4%
i	282	9.6%
o	248	8.5%
r	248	8.5%
	248	8.5%
l	214	7.3%
u	214	7.3%
s	214	7.3%
Other values (3)	192	6.6%

MUST (points)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

0	101
1	9
2	8
3	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	124
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	101	81.5%
1	9	7.3%
2	8	6.5%
3	6	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	101	81.5%
1	9	7.3%
2	8	6.5%
3	6	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	101	81.5%
1	9	7.3%
2	8	6.5%
3	6	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	124	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	101	81.5%
1	9	7.3%
2	8	6.5%
3	6	4.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	124	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	101	81.5%
1	9	7.3%
2	8	6.5%
3	6	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	124	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	101	81.5%
1	9	7.3%
2	8	6.5%
3	6	4.8%

MUST status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

normal nutritional status	101
risk of malnutrition	23

Length

Max length	25
Median length	25
Mean length	24.07258065
Min length	20

Characters and Unicode

Total characters	2,985
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal nutritional status
2nd row	normal nutritional status
3rd row	normal nutritional status
4th row	normal nutritional status
5th row	normal nutritional status

Common Values

Value	Count	Frequency (%)
normal nutritional status	101	81.5%
risk of malnutrition	23	18.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	101	27.2%
nutritional	101	27.2%
status	101	27.2%
risk	23	6.2%
of	23	6.2%
malnutrition	23	6.2%

Most occurring characters

Value	Count	Frequency (%)
t	450	15.1%
n	349	11.7%
a	326	10.9%
i	271	9.1%
o	248	8.3%
r	248	8.3%
	248	8.3%
l	225	7.5%
u	225	7.5%
s	225	7.5%
Other values (3)	170	5.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2737	91.7%
Space Separator	248	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	450	16.4%
n	349	12.8%
a	326	11.9%
i	271	9.9%
o	248	9.1%
r	248	9.1%
l	225	8.2%
u	225	8.2%
s	225	8.2%
m	124	4.5%
Other values (2)	46	1.7%

Space Separator

Value	Count	Frequency (%)
	248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2737	91.7%
Common	248	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	450	16.4%
n	349	12.8%
a	326	11.9%
i	271	9.9%
o	248	9.1%
r	248	9.1%
l	225	8.2%
u	225	8.2%
s	225	8.2%
m	124	4.5%
Other values (2)	46	1.7%

Common

Value	Count	Frequency (%)
	248	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2985	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	450	15.1%
n	349	11.7%
a	326	10.9%
i	271	9.1%
o	248	8.3%
r	248	8.3%
	248	8.3%
l	225	7.5%
u	225	7.5%
s	225	7.5%
Other values (3)	170	5.7%

NRS-2002 (points)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2	53
3	47
4	14
5	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	124
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	3
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
2	53	42.7%
3	47	37.9%
4	14	11.3%
5	10	8.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	53	42.7%
3	47	37.9%
4	14	11.3%
5	10	8.1%

Most occurring characters

Value	Count	Frequency (%)
2	53	42.7%
3	47	37.9%
4	14	11.3%
5	10	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	124	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	53	42.7%
3	47	37.9%
4	14	11.3%
5	10	8.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	124	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	53	42.7%
3	47	37.9%
4	14	11.3%
5	10	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	124	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	53	42.7%
3	47	37.9%
4	14	11.3%
5	10	8.1%

NRS-2002 status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

risk of malnutrition	71
normal nutritional status	53

Length

Max length	25
Median length	20
Mean length	22.13709677
Min length	20

Characters and Unicode

Total characters	2,745
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal nutritional status
2nd row	risk of malnutrition
3rd row	risk of malnutrition
4th row	normal nutritional status
5th row	risk of malnutrition

Common Values

Value	Count	Frequency (%)
risk of malnutrition	71	57.3%
normal nutritional status	53	42.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
risk	71	19.1%
of	71	19.1%
malnutrition	71	19.1%
normal	53	14.2%
nutritional	53	14.2%
status	53	14.2%

Most occurring characters

Value	Count	Frequency (%)
t	354	12.9%
i	319	11.6%
n	301	11.0%
r	248	9.0%
	248	9.0%
o	248	9.0%
a	230	8.4%
s	177	6.4%
l	177	6.4%
u	177	6.4%
Other values (3)	266	9.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2497	91.0%
Space Separator	248	9.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	354	14.2%
i	319	12.8%
n	301	12.1%
r	248	9.9%
o	248	9.9%
a	230	9.2%
s	177	7.1%
l	177	7.1%
u	177	7.1%
m	124	5.0%
Other values (2)	142	5.7%

Space Separator

Value	Count	Frequency (%)
	248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2497	91.0%
Common	248	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	354	14.2%
i	319	12.8%
n	301	12.1%
r	248	9.9%
o	248	9.9%
a	230	9.2%
s	177	7.1%
l	177	7.1%
u	177	7.1%
m	124	5.0%
Other values (2)	142	5.7%

Common

Value	Count	Frequency (%)
	248	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2745	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	354	12.9%
i	319	11.6%
n	301	11.0%
r	248	9.0%
	248	9.0%
o	248	9.0%
a	230	8.4%
s	177	6.4%
l	177	6.4%
u	177	6.4%
Other values (3)	266	9.7%

presence of any etiologic criteria (GLIM )
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

True	124

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	124	100.0%

presence of any phenotypic criteria (GLIM )
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	76
True	48

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	76	61.3%
True	48	38.7%

ALM index
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	112
Distinct (%)	90.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.51733871

Minimum	4.77
Maximum	10.85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	4.77
5-th percentile	5.218
Q1	6.4475
median	7.515
Q3	8.4325
95-th percentile	9.8945
Maximum	10.85
Range	6.08
Interquartile range (IQR)	1.985

Descriptive statistics

Standard deviation	1.438004551
Coefficient of variation (CV)	0.1912917066
Kurtosis	-0.5587389693
Mean	7.51733871
Median Absolute Deviation (MAD)	1.06
Skewness	0.1445313415
Sum	932.15
Variance	2.067857088
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.13	2	1.6%
6.19	2	1.6%
7.52	2	1.6%
7.36	2	1.6%
7.75	2	1.6%
7.85	2	1.6%
7.24	2	1.6%
8.72	2	1.6%
7.35	2	1.6%
7.26	2	1.6%
Other values (102)	104	83.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.77	1	0.8%
4.82	1	0.8%
4.83	1	0.8%
5.1	1	0.8%
5.15	1	0.8%
5.16	1	0.8%
5.2	1	0.8%
5.32	1	0.8%
5.36	1	0.8%
5.38	1	0.8%

Value	Count	Frequency (%)
10.85	1	0.8%
10.74	1	0.8%
10.58	1	0.8%
10.48	1	0.8%
10.36	1	0.8%
10.17	1	0.8%
9.92	1	0.8%
9.75	1	0.8%
9.71	1	0.8%
9.48	1	0.8%

Low muscle mass (ALM index <=7.40 for men and <=5.6 for women; polish cut-off points)
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	95
True	29

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	95	76.6%
True	29	23.4%

handgrip strenght (mean value for two hands)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	122
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.99326613

Minimum	5.4
Maximum	49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	5.4
5-th percentile	12.19875
Q1	18.99375
median	24.2
Q3	32.25
95-th percentile	42.8475
Maximum	49
Range	43.6
Interquartile range (IQR)	13.25625

Descriptive statistics

Standard deviation	9.489914995
Coefficient of variation (CV)	0.3650912874
Kurtosis	-0.4860302543
Mean	25.99326613
Median Absolute Deviation (MAD)	6.34
Skewness	0.3591628281
Sum	3223.165
Variance	90.0584866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.75	2	1.6%
37.625	2	1.6%
34.5	1	0.8%
33.025	1	0.8%
23.425	1	0.8%
21.6	1	0.8%
23.125	1	0.8%
41.15	1	0.8%
26.225	1	0.8%
20.775	1	0.8%
Other values (112)	112	90.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.4	1	0.8%
7.55	1	0.8%
10.4	1	0.8%
11.75	2	1.6%
11.975	1	0.8%
12.15	1	0.8%
12.475	1	0.8%
12.575	1	0.8%
13.425	1	0.8%
13.925	1	0.8%

Value	Count	Frequency (%)
49	1	0.8%
46.575	1	0.8%
46.425	1	0.8%
45.75	1	0.8%
44.7	1	0.8%
44.2	1	0.8%
42.9	1	0.8%
42.55	1	0.8%
41.825	1	0.8%
41.75	1	0.8%

low handgrip strenght <27 kg for men and <16 kg for women
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	78
True	46

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	78	62.9%
True	46	37.1%

Chair Stand Test (s)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	123
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.8775

Minimum	5.65
Maximum	41.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	5.65
5-th percentile	8.2765
Q1	10.5525
median	13.055
Q3	17.0925
95-th percentile	28.0465
Maximum	41.2
Range	35.55
Interquartile range (IQR)	6.54

Descriptive statistics

Standard deviation	6.26917697
Coefficient of variation (CV)	0.421386454
Kurtosis	3.187336244
Mean	14.8775
Median Absolute Deviation (MAD)	3.15
Skewness	1.594359248
Sum	1844.81
Variance	39.30257988
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.01	2	1.6%
10.6	1	0.8%
21.7	1	0.8%
17.72	1	0.8%
14.16	1	0.8%
8.2	1	0.8%
13.3	1	0.8%
7.35	1	0.8%
11.25	1	0.8%
10.75	1	0.8%
Other values (113)	113	91.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.65	1	0.8%
6.74	1	0.8%
6.88	1	0.8%
7.35	1	0.8%
7.82	1	0.8%
7.92	1	0.8%
8.2	1	0.8%
8.71	1	0.8%
8.72	1	0.8%
8.73	1	0.8%

Value	Count	Frequency (%)
41.2	1	0.8%
37.66	1	0.8%
31.69	1	0.8%
30.19	1	0.8%
29.51	1	0.8%
29.39	1	0.8%
28.24	1	0.8%
26.95	1	0.8%
25.76	1	0.8%
24.06	1	0.8%

weak legs- Chair Stand Test >15 seconds
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	82
True	42

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	82	66.1%
True	42	33.9%

sarcopenia confirmed according to EWGSOP2
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	252.0 B

False	108
True	16

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	108	87.1%
True	16	12.9%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	subject number	age	gender	place of living	living condition	level of education	number of chronic diseases	number of regular drugs	presence of hypertension	presence of cardiovascular disease	presence of dyslipidemia	presence of diabetes	AMTS (points)	AMTS status	FEV1/FVC EX	FEV1	Severity of COPD according to the GOLD classification	6MWT results	height (cm)	weight (kg)	BFM (Body Fat Mass)	SMM (Skeletal Muscle Mass)	BMI (Body Mass Index)	PBF (Percent Body Fat)	FFM of Right Arm	FFM of Left Arm	FFM of Right Leg	FFM of Left Leg	FFM of Trunk	MNA- SF (points)	MNA-SF status	MUST (points)	MUST status	NRS-2002 (points)	NRS-2002 status	presence of any etiologic criteria (GLIM )	presence of any phenotypic criteria (GLIM )	ALM index	Low muscle mass (ALM index <=7.40 for men and <=5.6 for women; polish cut-off points)	handgrip strenght (mean value for two hands)	low handgrip strenght <27 kg for men and <16 kg for women	Chair Stand Test (s)	weak legs- Chair Stand Test >15 seconds	sarcopenia confirmed according to EWGSOP2
0	1	65	M	rural areas	living with other	vocational	3	5	no	no	no	yes	8	normal cognitive function	29.22	24	very severe obstruction	510	172	74.4	14.4	33.6	25.1	19.3	3.91	3.91	8.51	8.51	28.7	14	normal nutritional status	0	normal nutritional status	2	normal nutritional status	yes	no	8.40	no	34.500	no	10.60	no	no
1	2	69	M	urban areas	living with other	secondary	2	4	yes	no	no	no	9	normal cognitive function	50.26	59	moderate obstruction	430	181	87.9	26.3	34.2	26.8	30.0	3.21	3.30	10.40	9.90	26.2	12	normal nutritional status	0	normal nutritional status	3	risk of malnutrition	yes	no	8.09	no	46.575	no	12.85	no	no
2	3	82	M	urban areas	living with other	vocational	2	11	yes	no	no	no	9	normal cognitive function	47.06	36	severe obstruction	245	169	79.2	31.5	26.0	27.7	39.8	2.80	2.50	7.41	7.61	22.1	13	normal nutritional status	0	normal nutritional status	3	risk of malnutrition	yes	yes	7.11	yes	17.125	yes	15.99	yes	yes
3	4	77	M	rural areas	living with other	primary	6	4	yes	yes	no	yes	9	normal cognitive function	69.36	50	moderate obstruction	380	170	83.2	25.9	32.0	28.8	31.1	3.71	3.71	8.11	8.01	28.3	14	normal nutritional status	0	normal nutritional status	2	normal nutritional status	yes	no	8.15	no	28.850	no	13.04	no	no
4	5	60	M	urban areas	living with other	vocational	2	2	no	no	no	no	10	normal cognitive function	48.83	50	moderate obstruction	unable to complete the 6MWT	172	72.1	19.5	29.3	24.4	27.0	3.21	3.10	7.71	7.71	25.0	14	normal nutritional status	0	normal nutritional status	3	risk of malnutrition	yes	yes	7.35	yes	24.750	yes	12.94	no	yes
5	6	81	M	rural areas	living with other	secondary	4	14	yes	yes	no	yes	10	normal cognitive function	53.62	46	severe obstruction	unable to complete the 6MWT	176	94.3	30.0	35.7	30.4	31.8	4.31	4.41	9.21	10.21	31.3	14	normal nutritional status	0	normal nutritional status	3	risk of malnutrition	yes	no	9.08	no	23.675	yes	14.86	no	no
6	7	67	M	urban areas	living with other	vocational	4	5	yes	yes	no	yes	10	normal cognitive function	44.83	24	very severe obstruction	unable to complete the 6MWT	175	107.3	39.3	37.8	35.0	36.6	4.11	4.21	10.40	10.31	30.6	14	normal nutritional status	0	normal nutritional status	2	normal nutritional status	yes	no	9.48	no	37.050	no	13.07	no	no
7	8	76	M	urban areas	living with other	vocational	5	12	no	yes	no	yes	10	normal cognitive function	48.56	41	severe obstruction	120	175	67.5	21.0	25.1	22.0	31.1	2.71	2.71	6.91	7.01	22.7	6	risk of malnutrition	2	risk of malnutrition	4	risk of malnutrition	yes	yes	6.31	yes	23.250	yes	31.69	yes	yes
8	9	61	M	rural areas	living with other	vocational	2	6	yes	no	no	no	10	normal cognitive function	54.68	46	severe obstruction	380	172	59.1	11.2	25.8	20.0	19.0	2.71	2.50	6.51	6.61	21.7	6	risk of malnutrition	3	risk of malnutrition	2	normal nutritional status	yes	yes	6.19	yes	16.200	yes	28.24	yes	yes
9	10	63	M	urban areas	living with other	vocational	3	4	yes	yes	no	no	9	normal cognitive function	30.41	20	very severe obstruction	130	173	51.5	8.9	23.0	17.2	17.2	2.21	2.21	6.51	6.51	19.5	11	risk of malnutrition	2	risk of malnutrition	3	risk of malnutrition	yes	yes	5.83	yes	22.600	yes	8.72	no	yes

Last rows

	subject number	age	gender	place of living	living condition	level of education	number of chronic diseases	number of regular drugs	presence of hypertension	presence of cardiovascular disease	presence of dyslipidemia	presence of diabetes	AMTS (points)	AMTS status	FEV1/FVC EX	FEV1	Severity of COPD according to the GOLD classification	6MWT results	height (cm)	weight (kg)	BFM (Body Fat Mass)	SMM (Skeletal Muscle Mass)	BMI (Body Mass Index)	PBF (Percent Body Fat)	FFM of Right Arm	FFM of Left Arm	FFM of Right Leg	FFM of Left Leg	FFM of Trunk	MNA- SF (points)	MNA-SF status	MUST status	NRS-2002 (points)	NRS-2002 status	presence of any etiologic criteria (GLIM )	presence of any phenotypic criteria (GLIM )	ALM index	Low muscle mass (ALM index <=7.40 for men and <=5.6 for women; polish cut-off points)	handgrip strenght (mean value for two hands)	low handgrip strenght <27 kg for men and <16 kg for women	Chair Stand Test (s)	weak legs- Chair Stand Test >15 seconds	sarcopenia confirmed according to EWGSOP2
114	115	81	W	urban areas	living with other	secondary	4	5	yes	no	no	yes	10	normal cognitive function	36.96	30	severe obstruction	330	154	60.2	20.4	21.2	25.4	33.8	1.90	2.00	5.61	5.51	17.2	14	normal nutritional status	normal nutritional status	5	risk of malnutrition	yes	no	6.33	no	18.275	no	14.39	no	no
115	116	67	W	rural areas	living alone	vocational	4	8	yes	no	no	no	9	normal cognitive function	53.40	50	moderate obstruction	420	153	77.9	35.8	22.6	33.3	46.0	2.30	2.21	5.71	5.71	19.0	14	normal nutritional status	normal nutritional status	4	risk of malnutrition	yes	no	6.80	no	15.650	yes	17.09	yes	no
116	117	81	W	urban areas	living alone	higher	4	13	yes	yes	no	no	10	normal cognitive function	35.29	29	very severe obstruction	280	142	54.1	19.9	17.7	26.8	36.7	1.71	1.61	3.71	3.71	14.8	11	risk of malnutrition	normal nutritional status	4	risk of malnutrition	yes	yes	5.32	yes	16.200	yes	14.73	no	yes
117	118	67	M	urban areas	living alone	vocational	3	8	yes	no	no	yes	10	normal cognitive function	52.70	43	severe obstruction	465	164	94.5	35.7	32.8	35.1	37.8	3.30	3.41	8.61	9.31	25.8	14	normal nutritional status	normal nutritional status	2	normal nutritional status	yes	no	9.16	no	30.050	no	8.71	no	no
118	119	82	W	urban areas	living with other	secondary	3	7	yes	no	no	no	9	normal cognitive function	50.00	56	moderate obstruction	360	158	71.8	28.8	23.0	28.8	40.0	2.00	1.90	6.61	6.31	17.5	12	normal nutritional status	normal nutritional status	3	risk of malnutrition	yes	no	6.74	no	13.425	yes	12.66	no	no
119	120	77	M	rural areas	living with other	vocational	1	2	no	no	no	no	8	normal cognitive function	61.74	54	moderate obstruction	unable to complete the 6MWT	171	64.0	8.1	30.7	21.9	12.7	3.41	3.41	8.01	8.11	25.4	12	normal nutritional status	normal nutritional status	2	normal nutritional status	yes	yes	7.85	no	30.975	no	12.68	no	no
120	121	61	W	urban areas	living with other	secondary	1	3	no	no	no	no	10	normal cognitive function	53.11	39	severe obstruction	unable to complete the 6MWT	162	62.5	20.6	22.7	23.8	33.0	2.10	2.00	6.11	6.11	18.7	14	normal nutritional status	normal nutritional status	3	risk of malnutrition	yes	no	6.22	no	20.525	no	12.64	no	no
121	122	74	M	urban areas	living with other	vocational	3	4	yes	no	no	no	10	normal cognitive function	53.61	67	moderate obstruction	unable to complete the 6MWT	175	71.9	17.4	29.8	23.5	24.2	3.21	3.10	8.11	7.41	24.8	14	normal nutritional status	normal nutritional status	3	risk of malnutrition	yes	yes	7.13	yes	38.475	no	13.87	no	no
122	123	74	W	urban areas	living alone	primary	3	8	yes	no	no	no	9	normal cognitive function	56.93	75	moderate obstruction	unable to complete the 6MWT	160	72.5	29.8	23.0	28.3	41.1	2.10	2.00	6.11	6.61	18.5	11	risk of malnutrition	normal nutritional status	2	normal nutritional status	yes	yes	6.60	no	21.800	no	16.89	yes	no
123	124	68	W	urban areas	living with other	vocational	4	2	yes	no	no	no	10	normal cognitive function	64.32	80	mild obstruction	580	151	56.2	19.0	20.0	24.6	33.9	2.21	2.10	4.61	4.51	18.5	12	normal nutritional status	normal nutritional status	2	normal nutritional status	yes	no	5.89	no	21.975	no	8.87	no	no

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter